An Investigation on the Closure of the Water Budget Methods Over Volta Basin Using Multi-Satellite Data

2015 ◽  
pp. 171-178 ◽  
Author(s):  
Vagner G. Ferreira ◽  
Zibrila Asiah
Keyword(s):  
Satellite Data ◽  
Water Budget ◽  
Volta Basin

Global surface energy and water cycle variability 2001-2011 from satellite data

2020 ◽  
Author(s):  
Bo Dong ◽  
Keith Haines ◽  
Chris Thomas ◽  
Chunlei Liu ◽  
Richard Allan
Keyword(s):  
Surface Energy ◽  
Interannual Variability ◽  
Satellite Data ◽  
Water Budget ◽  
Water Cycle ◽  
Water Storage ◽  
Heat Fluxes ◽  
Turbulent Heat ◽  
Water Budgets ◽  
Turbulent Heat Fluxes

<p>We derive internally consistent, monthly to interannual, energy and water budgets, with uncertainties, for all the main continents and ocean basins over 2001-2011 based principally on satellite data. An inverse model is used following the Thomas et al (2019) climatology study and the NASA energy and water cycle study (NEWS), L’Ecuyer et al. (2015), Rodell et al. (2015).<br>Input data include CERES and Cloud_CCI AATSR (radiation), FluxCOM (land turbulent heat fluxes), JOFURO3 (ocean turbulent heat fluxes), GPCP2.3 (Precipitation), GRACE (total water storage), ERA5 (atmospheric water storage), GRUNv1 (land runoff), and we compare these with alternative products to assess component uncertainties. The different components are then brought together and adjusted within respective uncertainties to achieve balanced energy and water budgets.<br>Preliminary results focus on seasonal and interannual variability over land. Seasonal modifications to the water budget over Eurasia and N America include a delay in spring runoff (and reduced evapotranspiration over Eurasia) as GRACE data indicates retention of water mass over land. Evapotranspiration adjustments to FluxCOM are strongly seasonal and also result in bringing the land seasonal energy budget closer to the DEEPC Liu et al (2015) results demonstrating the value of coupling the energy and water cycles.<br>Strong correlated interannual variability in African precipitation, runoff and GRACE derived water storage is found, and we assess the relative consistency of different data products, particularly for precipitation, where multiple datasets are available and uncertainties are large. Consistent African precipitation variability is found in the TAMSAT data, which further supports the water cycle change scheme around year 2006 over Africa. Clear ENSO signals are seen, particularly over South America in 2010 and Australia in 2010-11, with correlated variability in rainfall, runoff and water storage distributions. <br>Optimisation is sensitive to the uncertainty of each energy and water budget component expressed in their spatial and temporal error covariances.  We introduce spatial error covariance for turbulent heat fluxes between major ocean basins as well as temporal error covariances for all components expressing the expectation of time mean bias adjustments. The results show improved net surface energy flux pattern with larger heat loss over North Atlantic and Arctic Ocean and more heat uptake for other basins and an intensified water cycle, with increased precipitation, evapotranspiration and runoff and stronger ocean-land water transports. </p>

scholarly journals On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

2016 ◽  
Vol 37 (2) ◽  
pp. 223-247 ◽  
Author(s):  
Eric Martin ◽  
Simon Gascoin ◽  
Youen Grusson ◽  
Clément Murgue ◽  
Mélanie Bardeau ◽  
...  
Keyword(s):  
Satellite Data ◽  
Human Activities ◽  
Water Budget ◽  
River Basins ◽  
Hydrological Models

scholarly journals Intercomparison of freshwater fluxes over ocean and investigations into water budget closure

2020 ◽  
Author(s):  
Marloes Gutenstein ◽  
Karsten Fennig ◽  
Marc Schröder ◽  
Tim Trent ◽  
Stephan Bakan ◽  
...  
Keyword(s):  
Water Vapor ◽  
Satellite Data ◽  
Water Budget ◽  
Water Cycle ◽  
Global Ocean ◽  
Freshwater Flux ◽  
Data Sets ◽  
Climate Data ◽  
The Difference ◽  
Global Water

Abstract. The development of algorithms for the retrieval of water cycle components from satellite data, such as total column water vapor content (TCWV), precipitation (P), latent heat flux, and evaporation (E) has seen much progress in the past three decades. In the present study, we compare six recent satellite-based retrieval algorithms and ERA5 (the European Centre for Medium-Range Weather Forecasts' fifth reanalysis) freshwater flux (E–P) data regarding global and regional, seasonal and inter-annual variation to assess the degree of correspondence among them. The compared data sets are recent, freely available and documented climate data records (CDRs), developed with a focus on stability and homogeneity of the time series, as opposed to instantaneous accuracy. One main finding of our study is the agreement of global ocean means of all E–P data sets within the uncertainty ranges of satellite-based data. Regionally, however, significant differences are found among the satellite data and with ERA5. Regression analyses of regional monthly means of E, P, and E–P against the statistical median of the satellite data ensemble (SEM) show that, despite substantial differences in global E patterns, deviations among E–P data are dominated by differences in P throughout the globe. E–P differences among data sets are spatially inhomogeneous. We observe that for ERA5 long-term global E–P is very close to 0 mm/day and that there is good agreement between land and ocean mean E–P, vertically integrated moisture divergence (VIMD), and global TCWV tendency. The fact that E and P are balanced globally provides an opportunity to investigate the consistency between E and P data sets. Over ocean, P (nearly) balances with E if the net transport of water vapor from ocean to land (over-ocean VIMD, i.e., ∇Qocean) is taken into account. Correlation of Eocean − ∇Qocean with Pocean yields R2 = 0.86 for ERA5, but smaller R2 are found for satellite data sets. Climatological global yearly totals of water cycle components (E, P, E–P, and net transport from ocean to land and vice versa) calculated from the data sets used in this study are in agreement with previous studies, with ERA5 E and P are occupying the upper part of the range. Over ocean, both the spread among satellite-based E and the difference between two satellite-based P data sets are greater than E–P and these remain the largest sources of uncertainty within the observed global water budget. We conclude that for a better understanding of the global water budget, the quality of E and P data sets themselves and their associated uncertainties need to be further investigated.

scholarly journals On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

2016 ◽  
pp. 33-57 ◽  
Author(s):  
Eric Martin ◽  
Simon Gascoin ◽  
Youen Grusson ◽  
Clément Murgue ◽  
Mélanie Bardeau ◽  
...  
Keyword(s):  
Satellite Data ◽  
Human Activities ◽  
Water Budget ◽  
River Basins ◽  
Hydrological Models

scholarly journals Re-evaluation of the Water Budget around Mt. Aso Using Hydrometeorological and Satellite Data.

2002 ◽  
Vol 15 (4) ◽  
pp. 413-427 ◽  
Author(s):  
Hiroshi MATSUYAMA ◽  
Takeki IZUMI
Keyword(s):  
Satellite Data ◽  
Water Budget
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